Feb 24, 2023 · CARE facilitates the data collection and study of inline commentary in NLP, extrinsic evaluation of NLP assistance, and application prototyping.

CARE facilitates data collection for inline commentaries in a commonplace collaborative reading environment, and provides a framework for enhancing reading ...

Feb 24, 2023 · Figure 1: CARE allows users to collaboratively read and discuss texts, provides a generic interface for AI-based reading assistance, and ...

This work proposes inline commentary as a natural vehicle for AI-based reading assistance, and presents CARE: the first open integrated platform for the study ...

Request PDF | On Jan 1, 2023, Dennis Zyska and others published CARE: Collaborative AI-Assisted Reading Environment | Find, read and cite all the research ...

CARE - Collaborative AI-Assisted Reading Environment. CARE is a collaborative reading environment that allows users to read and annotate documents together.

This repository contains a model example for inference with the CARE Broker. It is built on top of the Huggingface pipeline and can be modified to support ...

CARE: Collaborative AI-Assisted Reading Environment ... Recent years have seen impressive progress in AI-assisted writing, yet the developments in AI-assisted ...

Feb 24, 2023 · For users, CARE enables the development of new, innovative applications built around AI-assisted reading such as interactive e-learning, ...

We propose inline commentary as a natural vehicle for AI-based reading assistance, and present CARE: the first open integrated platform for the study of inline ...